triageR
0.1.1Automated Machine Learning and AI Agent Tools for Clinical Prediction Modelling
Overview
Provides a streamlined workflow for building, validating, and reporting clinical prediction models. Combines standard machine learning tools with an optional AI agent that recommends appropriate statistical methods, runs sensitivity analyses, and flags common pitfalls. Includes automated generation of reports aligned with TRIPOD+AI reporting guidance (Collins et al. (2024 doi:10.1136/bmj-2023-078378)) for reproducible, guideline-aligned research.
Install
Health
- OK2026-08-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-07-300 OK · 0 NOTE · 0 WARNING · 5 ERROR · 0 FAILURE
Documentation
- Examples that run
- 50%
- Documented parameters
- 99%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Repository
Issues over time
Repository practices
5 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/devwebwacky/triager on 2026-08-09.
Dependencies
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Code & Tests
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- 0.1.1Latest
- 0.1.02026-07-29
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-07-29
- Total releases
- 2 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.1.0
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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